Tag: Algorithms

Free Download Algorithms in Ocean Chemistry By Daniele Mazza
2020 | 64 Pages | ISBN: 8831688626 | PDF | 5 MB
Breathe in, breathe out…like a giant lung, oceans absorb vast amounts of carbon dioxide (CO2) from the atmosphere, and release it once again as cold water currents reach warmer areas of the globe. Indeed, CO2 solubility varies with temperature, together with other factors such as salinity and pressure.Chemically speaking, why does seawater so readily absorb carbon dioxide, thereby buffering the anthropogenic emission of this gas ?Oceans cover about 71% of the earth’s surface and the gaseous exchange occurs through the ocean’s surface, but the answer to this question lies deeper, in what is a widely underestimated fact: the pH (acidity level) of seawater is substantially alkaline, ranging from 8.0 to 8.7. This means that the balance of positive and negative ions is reached through a higher concentration of hydroxide ions (OH -) compared to hydrogen ions (H+).

Free Download Quantum-Safe Cryptography Algorithms and Approaches: Impacts of Quantum Computing on Cybersecurity by Satya Prakash Yadav, Raghuraj Singh, Vibhash Yadav
English | August 7, 2023 | ISBN: 311079800X | 344 pages | MOBI | 3.58 Mb
Quantum computers have demonstrated that they have the inherent potential to outperform classical computers in many areas. One of the major impacts is that the currently available cryptography algorithms are bound to no longer hold once quantum computers are able to compute at full speed. This book presents an overview of all the cross-disciplinary developments in cybersecurity that are being generated by the advancements in quantum computing.

Free Download Optimization Algorithms (MEAP V06)
English | 2023 | ISBN: 9781633438835 | 507 pages | MOBI | 14 Mb
Optimization problems are everywhere in daily life. What’s the fastest route from one place to another? How do you calculate the optimal price for a product? How should you plant crops, allocate resources, and schedule surgeries? Optimization Algorithms introduces the AI algorithms that can solve these complex and poorly-structured problems. Inside you’ll find a wide range of optimization methods, from deterministic and stochastic derivative-free optimization to nature-inspired search algorithms and machine learning methods. Don’t worry-there’s no complex mathematical notation. You’ll learn through in-depth case studies that cut through academic complexity to demonstrate how each algorithm works in the real world.

Free Download Graph Algorithms for Data Science
by Tomaž Bratanic
English | 2024 | ISBN: 1617299464 | 353 pages | True PDF | 35.74 MB

Free Download The Economy of Algorithms
by Kowalkiewicz, Marek;
English | 2024 | ISBN: 1529242460 | 240 pages | True EPUB | 5.64 MB

Free Download Filterworld: How Algorithms Flattened Culture (Audiobook)
English | ASIN: B0C4CBHN1D | 2024 | 11 hours and 56 minutes | M4B@64 kbps | 343 MB
Author: Kyle Chayka
Narrator: Kaleo Griffith
From trendy restaurants to city grids, to TikTok and Netflix feeds the world round, algorithmic recommendations dictate our experiences and choices. The algorithm is present in the familiar neon signs and exposed brick of Internet cafes, be it in Nairobi or Portland, and the skeletal, modern furniture of Airbnbs in cities big and small. Over the last decade, this network of mathematically determined decisions has taken over, almost unnoticed-informing the songs we listen to, the friends with whom we stay in touch-as we’ve grown increasingly accustomed to our insipid new normal. This ever-tightening web woven by algorithms is called "Filterworld." Kyle Chayka shows us how online and offline spaces alike have been engineered for seamless consumption, becoming a source of pervasive anxiety in the process. Users of technology have been forced to contend with data-driven equations that try to anticipate their desires-and often get them wrong.

Free Download Graph Algorithms for Data Science (MEAP V07)
English | 2023 | ISBN: 9781617299469 | 386 pages | MOBI | 6.09 Mb
Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. It’s filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs. You’ll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and much more. You don’t need any graph experience to start benefiting from this insightful guide. These powerful graph algorithms are explained in clear, jargon-free text and illustrations that makes them easy to apply to your own projects.

Free Download Introduction to Algorithms: A Creative Approach by Udi Manber
English | 1989 | ISBN: 0201120372 | 478 Pages | PDF | 36.9 MB
This book emphasizes the creative aspects of algorithm design by examining steps used in the process of algorithms development.

Free Download Optimization Algorithms (MEAP V07)
English | 2023 | ISBN: 9781633438835 | 584 pages | MOBI | 17 Mb
Optimization problems are everywhere in daily life. What’s the fastest route from one place to another? How do you calculate the optimal price for a product? How should you plant crops, allocate resources, and schedule surgeries? Optimization Algorithms introduces the AI algorithms that can solve these complex and poorly-structured problems. Inside you’ll find a wide range of optimization methods, from deterministic and stochastic derivative-free optimization to nature-inspired search algorithms and machine learning methods. Don’t worry-there’s no complex mathematical notation. You’ll learn through in-depth case studies that cut through academic complexity to demonstrate how each algorithm works in the real world.

Free Download Machine Learning Algorithms in Depth (MEAP V09) by
English | 2023 | ISBN: 9781633439214 | 550 pages | MOBI | 19 Mb
Machine Learning Algorithms in Depth dives into the design and underlying principles of some of the most exciting machine learning (ML) algorithms in the world today. With a particular emphasis on probability-based algorithms, you’ll learn the fundamentals of Bayesian inference and deep learning. You’ll also explore the core data structures and algorithmic paradigms for machine learning. Each algorithm is fully explored with both math and practical implementations so you can see how they work and how they’re put into action.